Java Data Structures & Algorithms + LEETCODE Exercises

Embark on an enriching and comprehensive journey into the intricate realm of Java Data Structures and Algorithms through our meticulously curated free video course, hosted on “howtofree.org.” This educational series is thoughtfully designed to elevate your programming prowess, offering a detailed exploration of essential Java structures and algorithms.

Dive into engaging hands-on LEETCODE exercises strategically integrated into the course, providing practical application and reinforcing theoretical concepts. Whether you’re a coding novice or an experienced programmer, this course is tailored to empower learners at all levels.

Our teachers ensure that you not only understand the nuances of Java Data Structures and Algorithms but also get useful insights for practical application by leading you through each session with clarity and experience. This course offers a comprehensive learning experience that goes beyond theory and gives you the tools you need to solve a variety of programming difficulties.

Join us on this educational odyssey to unlock the full potential of Java Data Structures and Algorithms. Whether you aim to solidify your foundational knowledge or enhance your problem-solving abilities, this free video course is designed to meet your learning objectives. Immerse yourself in a dynamic and interactive learning environment, and emerge with a profound understanding of Java’s fundamental concepts. Elevate your programming journey with us!

What You Will Gain Java Data Structures & Algorithms:

• 100 Coding Exercises with In-Depth Explanations: Engage in hands-on learning with a curated collection of 100 coding exercises, each accompanied by detailed explanations to strengthen your problem-solving skills.
• Accelerated DSA Learning with Animated Examples: Experience a faster and more engaging learning process as you delve into Data Structures and Algorithms with the aid of animated examples, making complex concepts more accessible.
• Mastery of Data Structures and Algorithms: Attain a high level of proficiency in both data structures and algorithms, laying a solid foundation for your programming journey.
• Confidently Tackle Technical Interview Questions: Equip yourself with the knowledge and confidence needed to excel in technical interviews, with a focus on practical application of data structures and algorithms.
• Understanding Time and Space Complexity: Grasp the intricacies of time and space complexity associated with various data structures and algorithms, enhancing your ability to make informed coding decisions.
• Skill Enhancement for Developers: Strengthen your overall skills as a developer, gaining valuable insights and practices that go beyond the scope of data structures and algorithms. Elevate
• your capabilities in the world of programming.

Course Content of Java Data Structures & Algorithms

1. Introduction

• Introduction
• Overview (Please Watch)
• Code Editor

2. Big O Java Data Structures & Algorithms

• Big O: Intro
• Big O: Worst Case
• Big O: O(n)
• Big O: O(n)
• Big O: Drop Constants
• Big O: 0(nA2)
• Big O: Drop Non-Dominants
• Big O: 0(1)
• Big O: ooog n)
• Big O: Different Terms for Inputs
• Big O: Array Lists
• Big O: Wrap Up
• Big O

3. Classes & Pointers

• Classes
• Pointers

4. Linked Lists

• Linked List: Intro
• LL: Big O
• L L: Under the Hood
• LL: Constructor
• Coding Exercises (Important)
• LL: Print List
• LL: Remove Last (Intro)
• LL: Remove Last (Code)
• LL: Prepend
• LL: Remove First
• LL: Get
• LL: Set
• LL: Insert
• : Remove
• : Reverse
• ked List Big O

5. <> LL: Coding Exercises

• LL: Constructor
• LL: Append
• LL: Remove Last
• LL: Prepend
• LL: Remove First
• LL: Get
• LL: Set
• LL: Insert
• LL: Remove
• LL: Reverse

6. <> LL: Interview / LeetCode Exercises

• Introduction to Interview Questions (PLEASE READ)
• LL: Find Middle Node ( ** Interview Question)
• LL: Has Loop ( ** Interview Question)
• LL: Find Kth Node From End ( ** Interview Question)
• LL: Partition List ( ** Interview Question)
• LL: Remove Duplicates ( ** Interview Question)
• LL: Binary to Decimal ( ** Interview Question)
• LL: Reverse Between ( Interview Question)

7. Doubly Linked Lists

• DLL: Constructor
• DLL: Append
• DLL: Remove Last
• DLL: Prepend
• DLL: Remove First
• DLL: Get
• DLL: Set
• DLL: Insert
• DLL: Remove

8. <> DLL: Coding Exercises

• DLL: Constructor
• DLL: Append
• DLL: Remove Last
• DLL: Prepend
• DLL: Remove First
• DLL: Get
• DLL: Set
• DLL: Insert
• DLL: Remove

9. <> DLL: Interview / LeetCode Exercises DLL

• : Swap First and Last ( ** Interview Question)
• DLL.
• Reverse (
• ** Interview Question)
• DLL.
• Palindrome Checker ( ** Interview Question)
• DLL
• : Swap Nodes in Pairs ( ** Interview Question)

10. Stacks & Queues Java Data Structures & Algorithms

• Stack: Intro
• Stack: Constructor
• Stack: Push
• Stack: Pop
• Queue: Intro
• Queue: Constructor
• Queue: Enqueue
• Queue: Dequeue
• Stacks & Queues Big O

11. S&Q: Coding Exercises

• Stack: Constructor
• Stack: Push
• Stack: Pop
• Queue: Constructor
• Queue: Enqueue
• Queue: Dequeue

12. <> S&Q: Interview / LeetCode Exercises

• Stack: Push for a Stack That Uses an ArrayList ( ** Interview Question)
• Stack: Pop for a Stack That Uses an ArrayList ( ** Interview Question)
• Stack: Reverse String ( ** Interview Question)
• Stack: Parentheses Balanced ( ** Interview Question)
• Stack: Sort Stack ( ** Interview Question)
• Queue Using Stacks: Enqueue ( ** Interview Question)
• Queue Using Stacks: Dequeue ( ** Interview Question)

13. Trees

• Trees: Intro & Terminology
• Binary Search Trees: Example
• BST: Big O
• BST: Constructor
• BST: Insert – Intro
• BST: Insert – Code
• BST: Contains – Intro
• BST: Contains
• Code
• BST Big O

14. <> BST: Coding Exercises

• BST: Constructor
• BST: Insert
• BST: Contains

15. Hash Tables

• Hash Table: Intro
• HT: Collisions
• HT: Constructor
• HT: Hash Method
• H T: Set
• H T: Get
• HT: Keys
• HT: Big O
• HT: Interview Question
• Hash Table Big O

16. <> HT: Coding Exercises

• HT: Constructor
• HT: Set
• H T: Get
• HT: Keys

17. <> HT: Interview / LeetCode Exercises

• HT: Item In Common ( ** Interview Question)
• HT: Find Duplicates ( ** Interview Question)
• HT: First Non-Repeating Character ( ** Interview Question)
• HT: Group Anagrams ( ** Interview Question)
• HT: Two Sum ( ** Interview Question)
• HT: Subarray Sum ( ** Interview Question)
• Introduction to Sets
• Set: Remove Duplicates ( ** Interview Question)
• Set: Has Unique Chars ( ** Interview Question)
• Set: Find Pairs ( ** Interview Ouestion)
• Set: Longest Consecutive Sequence ( ** Interview Question)

18. Graphs

• Graph: Intro
• Graph: Adjacency Matrix
• Graph: Adjacency List
• Graph: Big O
• Graph: Add Vertex
• Graph: Add Edge
• Graph: Remove Edge
• Graph: Remove Vertex
• Graph Big O

19. <> Graph: Coding Exercises

• Graph: Add Vertex
• Graph: Add Edge
• Graph: Remove Edge
• Graph: Remove Vertex

20. Heaps

• Heap: Intro
• Heap: Insert (Intro)
• Heap: Helper Methods
• Heap: Insen (Code)
• Heap: Remove
• Heap: Sink Down
• Heap: Priority Queues & Big O

21. <> Heap: Coding Exercises

• Heap: Insert
• Heap: Remove
• Heap: Sink Down
• Heap: MinHeap Insert
• Heap: MinHeap Remove
• Heap: MinHeap Sink Down

22. Heap: Interview / LeetCode Exercises

• <> Heap: Kth Smallest Element in an Array
• <> Heap: Maximum Element in a Stream

23. Recursion

• Recursion: Intro
• Call Stack
• Factorial

24. Recursive Binary Search Trees

• rBST•.
• Contains
• rBST:
• Insert
• rBST
• : Delete Intro
• rBST.
• Delete Code (1 of 3)
• rBST.
• Delete Code (2 of 3)
• rBST.
• Minimum Value
• rBST•
  .
• Delete Code (3 of 3)

25. <> rBST: Coding Exercises

• rBST: Contains
• rBST•. Insert
• BST: Minimum Value
• rBST: Delete

26. Tree Traversal

• Tree Traversal: Intro
• BFS (Breadth First Search): Intro
• BFS: Code
• DFS (Depth First Search): PreOrder – Intro
• DFS: Preorder – Code
• DFS: PostOrder – Intro
• DFS: Postorder – Code
• DFS: Inorder
• DFS: Inorder
• Intro
• Code

27. BST Traversal: Coding Exercises

• BST.Breadth First Search (BFS)
• BST: DFS Preorder
• BST•. DFS Postorder
• BST: DFS Inorder

28. <> BST Traversal: Interview / LeetCode Exercises

• BST: Kth Smallest Node ( ** Interview Question)

29. Basic Sorts

• Bubble Sort: Intro
• Bubble Sort: Code
• Selection Sort: Intro
• Selection Sort: Code
• Insertion Soft: Intro
• Insertion Sort: Code
• Insertion Soft: Big O
• Basic Sons

30. <> Basic Sorts: Coding Exercises

• Bubble Sort
• Selection Sort
• Insertion Sort

31. <> Basic Sorts: Interview / LeetCode Exercises

• Bubble Sort of LL ( ** Interview Question)
• Selection Sort of LL ( ** Interview Question)
• Insertion Sort of LL ( ** Interview Question)

32. Merge Sort

• Merge Soft: Overview
• Merge: Intro
• Merge: Code
• Merge Sort: Intro
• Merge Soft: Code
• Merge Soft: Big O

33. <> Merge Sort: Coding Exercises

• Merge
• Merge Soft

34. <> Merge: Interview / LeetCode Exercise

• LL: Merge Two Sorted Lists ( ** Interview Question)

35. Quick Sort

• Quick Sort: Intro
• Pivot: Intro
• Pivot: Code
• Quick Sort: Code
• Quick Sort: Big O

36. <> Quick Sort: Coding Exercises

• Pivot
• Quick Sort

37. <> Array: Interview / LeetCode Exercises

• Array: Remove Element ( ** Interview Question)
• Array: Find Max Min ( ** Interview Question)
• Array: Find Longest String ( ** Interview Question)
• Array: Remove Duplicates ( ** Interview Question)
• Array: Max Profit ( ** Interview Question)
• Array: Rotate ( ** Interview Question)
• Array: Max Sub Array ( Interview Question)

38. Coding Exercises

• Coding Exercises Are Now After Each Section – (CLICK HERE FOR MORE INFO)
• Thank You!

Requirements of Java Data Structures & Algorithms:

• Basic Programming Skills: A fundamental understanding of programming is essential to make the most of this course.
• No Prior Experience with Data Structures or Algorithms Required: Whether you’re a beginner or have limited exposure to data structures and algorithms, this course is designed to cater to learners at all levels. Dive in without hesitation!

Ideal Audience for This Course:

• Java Programmers Getting Ready for Interviews: Tailored for Java programmers gearing up for interviews, this course equips you with the essential knowledge needed to excel in technical interviews.
• University Students Studying Data Structures and Algorithms: Specifically designed for university students enrolled in data structures and algorithms courses, this comprehensive resource supports your academic journey.
• Self-Taught Programmers without a Computer Science Degree: If you’re a self-taught programmer who missed out on a formal computer science degree, this course bridges the gap by providing foundational insights into data structures and algorithms. Perfect for those seeking a structured learning experience.

Free now to access a treasure trove of knowledge and elevate your coding skills. Seize the opportunity to delve into the world of Java, with expert-led instruction and an active learning community to support your educational voyage.

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